Connect PostHog behavior data to journey decisions

The PostHog integration helps teams connect product behavior to the customer journey, so analytics are easier to interpret in the context of what customers are actually trying to do. Instead of looking at funnels, event spikes, or conversion drops in isolation, Custory ties those signals to the journey steps where friction is most likely happening.

That gives product teams a clearer picture of where behavior data confirms a known problem, where it reveals something new, and where follow-up work should be prioritized next.

After connecting your PostHog project, Custory can pull in the event families, funnels, and metrics that matter to the journeys you want to monitor. Teams can map those signals to specific journey stages so usage trends stay grounded in customer context.

From there, analytics become easier to act on. Instead of seeing a drop in isolation, your team can understand which part of the journey is affected, what other evidence supports the issue, and what work should happen next.

PostHog supports the core analytics workflows teams usually need in Custory: event and conversion trends, funnel performance, custom events, event-volume shifts, journey-linked monitoring, and signals that help trigger new insight or follow-up action when product behavior changes.

It is a strong fit for teams trying to connect usage patterns with onboarding issues, activation drop-off, feature adoption, or regressions that are easier to understand when behavior and journey context live together.

Custory only reads the PostHog project data your team has chosen to connect, and access remains scoped to the approved credentials and journey setup. That keeps the integration practical for analysis without expanding access unnecessarily.

Teams stay in control of which signals are brought in, which journeys they appear in, and how those analytics are used alongside broader customer evidence.